Performance Optimization, Oil & Gas

Stochastic Model for Well Production Optimization

Reservoir behavior and complexity brings lot of uncertainties in Production Optimization modeling, used to assess:
- the confidence level of the optimized plant configuration
- the uncertainty impact of the inputs on the increased production expected
kwantis defined statistical distributions of these uncertainties, from field data and production tests analysis.

A two stages analysis has been added to the optimization cycle:
- generate an "optimized field configuration" based on "Most Likely" data for all uncertain parameters (mostly curve pressure / flow rate);
- combine the probabilistic distributions of each uncertain parameter using a Monte Carlo simulator keeping "locked" the configuration of the plant ("optimized field configuration").
The analysis quality has been significantly improved by a statistical definition of the inputs distributions, fitting the input variables on past field data and production tests.

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